sample2response {netresponse} | R Documentation |
Probabilistic sample-response assignments for given subnet.
sample2response(model, subnet.id, mode = 'soft')
model |
Result from NetResponse (detect.responses function). |
subnet.id |
Subnet identifier. A natural number which specifies one of the subnetworks within the 'model' object. |
mode |
soft: gives samples x responses probabilistic assignment matrix; hard: gives the most likely response for each sample |
A matrix of probabilities. Sample-response assignments for given subnet, listing the probability of each response, given a sample.
Leo Lahti leo.lahti@iki.fi
Leo Lahti et al.: Global modeling of transcriptional responses in interaction networks. Bioinformatics (2010). See citation('netresponse') for citation details.
data( toydata ) # Load toy data set D <- toydata$emat # Response matrix (for example, gene expression) netw <- toydata$netw # Network # Detect network responses model <- detect.responses(D, netw, verbose = FALSE) # Assign samples to responses (soft, probabilistic assignments sum to 1) response.probabilities <- sample2response(model, subnet.id = 'Subnet-1')